Results 141 to 150 of about 97,855 (331)
Deep Underground Science and Engineering, EarlyView.This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
Earthquake prediction model using support vector regressor and hybrid neural networks. [PDF]
PLoS One, 2018 Asim KM +3 more
europepmc +1 more source
Deep Underground Science and Engineering, EarlyView.A novel shear‐lag model, validated by pull‐out tests, incorporates a constant bond stress stage to predict the complete load–displacement response of grouted rock bolts, providing a new tool for optimizing anchorage length and material toughness in deep underground engineering. Abstract The stability of rock masses in deep underground excavations, such
Wenhui Bian +6 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.An analytical framework delivers a closed‐form stress solution for lined compressed air energy storage chambers, enabling the determination of the minimum safe burial depth. The solution quantitatively evaluates lining support effectiveness, offering a reliable tool for chamber design and optimization.
Zeyuan Sun +3 more
wiley +1 more source
Earthquake Prediction is Possible by Electro-Magnetic-Wave Precursor?
, 2003 畑 雅恭
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Deep Underground Science and Engineering, EarlyView.B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza +4 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source
Earthquake Prediction: Precursory Vp/Vs Changes [PDF]
, 1973 Our Geomagnetism Correspondent
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Deep Underground Science and Engineering, EarlyView.This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source